AI & Automotive QA Engineer — Hybrid (Guadalajara)

Appsfactory; Región Centro; Híbrido; MXN 550.000 - 850.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working hours

Hybrid working model

Central office in Guadalajara

Onboarding program

Appsfactory Academy

Descripción de la vacante

Appsfactory in Guadalajara, Mexico is building its first local team of Software QA Engineers to validate AI-driven automotive solutions. You will collaborate with product owners and ML engineers to shape long-term validation roadmaps and drive automation across real-world data.

You will implement automation, contribute to CI/CD pipelines, and work with hardware/software diagnostics while supporting international teams and ongoing professional development in a modern office environment.

Formación

• You bring extensive experience with agile development methodologies, distributed integration processes, and managing competing project priorities while maintaining delivery quality.
• You demonstrate strong problem-solving and analytical skills, high attention to detail and risk assessment, and a strong willingness to learn and share knowledge within teams.
• You show exceptional communication and collaboration skills to work efficiently across cross-functional and international teams.
• You possess in-depth experience with automotive infotainment systems, AI concepts in automotive environments, and AI-enabled use cases.
• You are proficient in Python and shell scripting for automation, simulation, and validation tasks.
• You bring strong hands-on experience with CI/CD tools, ECU hardware/software, diagnostic tools (CANalyzer, CANape, CANoe, DTS Monaco), and troubleshooting complex vehicle networks (CAN/LIN/FlexRay/Ethernet).
• You offer excellent written and verbal communication skills in English to collaborate effectively in international environments.

Responsabilidades

• You collaborate with cross-functional teams, product owners, and machine learning engineers to understand AI use cases and define a long-term validation roadmap aligned with release cycles.
• You develop, document, and execute validation strategies to ensure robust AI solutions for automotive applications while defining performance, scalability, safety, and reliability metrics.
• You design and implement automation frameworks using real-world test fleet driving data to simulate AI-driven scenarios and complex edge cases.
• You develop custom scripts, tools, and automated workflows to perform efficient functional and performance testing on AI models.
• You collaborate with data science teams to validate AI predictions, investigate anomalies, and analyze failures using real-world data.
• You integrate AI validation into CI/CD pipelines and contribute to documentation, reporting, and process improvements to strengthen overall testing frameworks.

Conocimientos

Agile methodologies

Problem solving

Communication

Team collaboration

Python

Shell scripting

English proficiency

Automotive infotainment

Herramientas

CI/CD tools

ECU hardware/software

CANalyzer

CANape

CANoe

DTS Monaco

CAN/LIN/FlexRay/Ethernet

Descripción del empleo

Appsfactory in Guadalajara, Mexico is building its first local team of Software QA Engineers to validate AI-driven automotive solutions. You will collaborate with product owners and ML engineers to shape long-term validation roadmaps and drive automation across real-world data.

You will implement automation, contribute to CI/CD pipelines, and work with hardware/software diagnostics while supporting international teams and ongoing professional development in a modern office environment.